SPA Job - 49204267 | CareerArc
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Company: SPA
Location: Albuquerque, NM
Career Level: Mid-Senior Level
Industries: Manufacturing, Engineering, Aerospace

Description

Qualifications

Required Qualifications:

  • Bachelor's degree in engineering or a related STEM field
  • 5-10 years of experience in system engineering
  • Experience in requirements development and management
  • Modeling and simulation and data science experience
  • Active Secret clearance with the ability to obtain and maintain a Top Secret clearance with SCI eligibility
  • Must have excellent personal initiative, professional savviness, and interpersonal communication skills. 

Desired Qualifications: 

  • Master's degree or PhD in Systems Engineering or related field
  • 5-10 years of experience in 3 or more defense related technology areas such as Lethality/Survivability; Avionics/Vetronics; Safe, Arm, Fuse, Fire (SAFF); Radar; Optical sensors; Propulsion systems; and Aerodynamic control systems
  • Knowledge of weapons systems design and analysis


Responsibilities

The successful candidate will join a cross-functional team of interdisciplinary technical SMEs supporting DTRA program managers, performers, and customers in the development, demonstration, and transition of advantageous capabilities. Will support systems development, assessment, and refinement from concept formulation through implementation, operation, and disposal. Employ interdisciplinary techniques to define and evaluate systems functionality including operational concepts, requirements definition, system architecture definition and development, analysis of alternatives, modeling and simulation, element integration, predictive measures, technical evaluation, detailed design and production, risk assessment, cost analysis, test and evaluation, and process improvement. Identify potential problems and evaluate compensatory system designs using quantitative methods and scientific analyses to predict and measure outcomes and consequences. Formulate solutions for improving functional effectiveness and operational efficiency by analyzing a system's elements such as people, hardware, software, facilities, policies, and procedures in an integrated manner.


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